AI Engineer

As an
AI Engineer

at IOL, you will help design, build, and deploy advanced AI and machine learning systems that power intelligent automation and predictive features across our platforms. Working closely with data scientists, backend engineers, and product teams, you'll integrate AI models into production, build efficient microservices, and stay at the forefront of AI and MCP (Model Context Protocol) infrastructure.

This is a hands-on engineering role requiring solid backend experience, deep curiosity about AI, and the ability to translate cutting-edge research into scalable, real-world solutions.

Key Responsibilities

• Design and build
  AI-powered microservices and APIs

using Python and .NET 9+.
- Architect and implement
MCP servers

and AI integration frameworks for multi-model orchestration.
- Collaborate with data scientists to
train, evaluate, and deploy

machine learning and LLM-based models into production environments.
- Build
backend systems and RESTful APIs

for AI-driven applications and integrations with internal and external systems.
- Develop and maintain pipelines for
model versioning, testing, and CI/CD automation

.
- Ensure security, scalability, and observability of deployed AI systems in
Azure

or multi-cloud environments.
- Work with
vector databases

,
embeddings

, and
retrieval-augmented generation (RAG)

setups.
- Integrate
third-party AI APIs

(e.g., OpenAI, Anthropic, Azure AI) while optimizing cost and performance.
- Stay ahead of the curve on AI trends (LLMs, multimodal models, MCP, LangChain, semantic caching, agent frameworks).
- Document architecture and contribute to internal AI best practices and engineering standards.

Required Qualifications & Skills

• Education:

Bachelor's or Master's degree in
Computer Science, Mathematics, or Physics

(or equivalent experience).

Experience:

• 4–7 years of experience as a
  backend engineer

, ideally with exposure to AI or data-intensive systems.
- Strong background in
API development, integration, and distributed systems

.
- Proven hands-on experience with
Python

and
.NET 9 or higher

.
- Knowledge of
Golang

is a plus.
- AI/ML Skills:
- Understanding of
LLM architectures

, embeddings, and prompt-engineering workflows.
- Experience deploying or integrating
AI models

into production applications.
- Familiarity with
machine learning pipelines

and libraries (e.g., PyTorch, TensorFlow, Scikit-learn).
- MCP Expertise:
- Experience in building and managing
Model Context Protocol (MCP) servers

, ensuring interoperability between AI models and backend systems.
- Cloud & DevOps:
- Hands-on experience with
Azure services

, Docker/Kubernetes, and CI/CD pipelines (Azure DevOps, GitHub Actions, etc.).
- Collaboration:
- Strong communication and teamwork skills; ability to partner with data scientists, backend developers, and product stakeholders.
- Mindset:
- Avid learner who actively follows the latest developments in
AI frameworks, open-source models, and developer tools

.

Nice to Have

• Experience with
  LangChain

,
LlamaIndex

, or
agentic orchestration frameworks

.
- Familiarity with
vector databases

(Pinecone, Milvus, Redis Vector).
- Experience integrating
observability tools

for model monitoring and feedback loops.
- Prior experience in the
hospitality, travel, or fintech

industry.
- Exposure to
event-driven architectures

(Kafka, RabbitMQ, Service Bus).

Why Join IOL

At IOL, you'll work on transformative technology shaping the future of hospitality and travel. You'll have the freedom to experiment with cutting-edge AI tools, the support of world-class engineers, and the opportunity to bring intelligent systems into a real, large-scale production environment.

Join us to shape the future of AI-driven travel technology.